Â Applications are invited for one Postdoctoral Research Associate position in the Department of Mechanical Engineering at Iowa State University. The research objectives are to (1) develop machine learning algorithms to online detect faults and predict failures of lithium-ion batteries and rotating machinery (e.g., motors, pumps, and rotor-bearing systems) and (2) assist in validating the data analytics on Battery Management Systems (BMS) and Industrial Internet of Things (IIoT) hardware and software platforms. The duration of the position is expected to be one year and may be renewable based on performance and availability of funding. The salary will be commensurate with the prior research experience of the applicant. The postdoctoral associate will attend the weekly individual and group meetings, mentor at least two Ph.D. students in the group, and facilitate close collaborations with companies specialized in battery materials design and testing, IIoT and predictive maintenance. The postdoctoral associate will also publish the findings of his/her research in premier journals, present his/her research in high-impact conferences, and participate in proposal writing. Only individuals who have a strong desire to pursue an academic career are encouraged to apply.
Required Minimum Qualifications:
Â Candidates must have a recent Ph.D. in Mechanical Engineering, Electrical Engineering, or a related discipline.Â
Applicants with experience in (1) fault diagnostics and failure prognostics, (2) machine learning and deep learning, and/or (3) experimental/computational studies of lithium-ion batteries are highly encouraged to apply. Particularly, prior research experience in one or more of the following areas are desired:
- Algorithm development for machine learning and deep learning - Algorithm development for fault diagnostics and failure prognostics - Algorithm development for battery state estimation in BMS - Computational modeling of lithium-ion cell designs and their degradation/lifetime - Vibration analysis for diagnostics/prognostics of rotating machinery Â
Proposed Start Date:
November 1, 2020
Proposed End Date or Length of Term:
December 31, 2021
Number of Months Employed Per Year:
12 Month Work Period
To apply for this position, please click on âApplyâ and complete the Employment Application. Please be prepared to enter or attach the following:
1) Resume/Curriculum Vitae
2) Letter of Application/Cover Letter
3) Contact Information for Three References
The candidate selected for hire may be requested to provide documentation to verify highest degree completed. Â
If you have questions regarding this application process, please email email@example.com or call 515-294-4800 or Toll Free: 1-877-477-7485.
Iowa State University is classified as a Carnegie Foundation Doctoral/Research University-Extensive, a member of the Association of American Universities (AAU), and ranked by U.S. News and World Report as one of the top public universities in the nation. Over 36,000 students are enrolled and served by over 6,200 faculty and staff (see www.iastate.edu). Ames, Iowa is a progressive community of 60,000, located approximately 30 minutes north of Des Moines, and recently voted the best college town in the nation (see www.visitames.com).
Iowa State University is an equal opportunity employer committed to excellence through diversity and strongly encourages applications from all qualified applicants, including women, underrepresented minorities, and veterans. ISU is responsive to the needs of dual career couples, is dedicated to work-life balance through an array of policies, and is an NSF ADVANCE institution.
Iowa State University is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected Veteran status and will not be discriminated against.